Download CCI Living Planet Fellowships

CCI Living Planet Fellowships
Stephen Plummer (ESA) & LPF Postdocs
The CCI Postdoctoral Scheme
1.  As a partial response to the call for exploitation opportunities in
CCI, the Climate Change Initiative (CCI) Living Planet
Fellowships (LPF) are designed to specifically target the
exploitation of essential climate variable (ECV) products
generated by the ESA’s CCI, for improved understanding of the
climate system.
2.  As well as exploitation of ECV products, other themes were on
cross-ECV and multiple ECV use and enhancing interactions
between CCI members and other Earth Science laboratories,
research centres and universities
3.  Part of the ESA Living Planet Fellowship Scheme along with
other ESA Programmes STSE, SEOM
4.  Nine projects selected in 2014, with a second call under
evaluation to fund up to 5 further projects.
The CCI Postdoctoral Scheme
1.  The projects are equally distributed between atmosphere,
terrestrial, cryosphere and ocean domains
2.  Tackle aspects not covered in the main CCI projects with most
providing linkage between different CCI projects.
3.  All fellows are encouraged to interact between themselves and
with the consortia during the 6th CCI Collocation itself .
a.  A first meeting of the CCI postdoctoral fellows took
place on yesterday, 28th September to provide early
feedback on experience in dealing with CCI data.
b.  Ice Breaker and Poster Session for CCI Living Planet
Fellowships/Climate Office Researchers
The CCI Postdoctoral Scheme
1.  Robert Parker (U. Leicester)
Exploring thE cArboN CyclE
through atmospheric GreenHouse
Gas variability
2.  Jens Heymann (U. Bremen)
CARBOn dioxide emissions from
FIRES
3.  Adam Povey (U. Oxford)
The Environmental Response to
Aerosols observed in CCI ECVs
4.  Tero Mielonen (FMI)
Does Increasing Temperature
Increase Carbonaceous Aerosol
Direct Radiative Effect over Boreal
Forests?
1.  ESA Research Fellowship –
Anna Maria Trofaier
2.  ESA Young Graduate Trainee –
Anne Stefaniak
5.  Martin Hieronmyi (HZG)
Ocean Colour at low sun and high
waves
6.  Marie-Fanny Racault (PML)
Climate Impact on MARine
ECOsystem State
7.  Omar Bellprat (Barcelona SCC)
VERification of high-resolution
climate forecasts on Intraseasonalto-interannual Timescales with
Advanced Satellite datasets of the
Climate Change Initiative
8.  Anna Hogg (U. Leeds)
CryoSat measurements of
Antarctic Ice Shelf thickness
change
9.  Simon Munier (Estellus)
Surface water and climate
variability from a high-resolution
GIEMS-SAR merged product
ELEGANCE-GHG:ExpLoringthEGlobalcArboNCyclEthrough
atmosphericGreenHouseGasvariability
1) To iden8fy and quan8fy the spaGal-temporal
anomalies in satellite remote sensing data of
atmosphericXCO2andXCH4andtointerprettheminthecontextofsurfacecharacterisGcssuchasland
coverandvegetaGon.
2) To inves8gate the key physical climaGc drivers for observed atmospheric XCO2 and XCH4 anomalies
andtoassesstherepresentaGonofthesecouplingprocessesincurrentlandsystemmodels.
3) To improve our understanding of the role of wetland
inter-annualvariabilityonthemethanecycle.
4) To quan8fy the influence that disturbances (such as
biomassburningandland-usechange)haveontheinterannualvariabilityofatmosphericCO2andtheunderlying
carboncycle.
Figures: Hovmoller plots of SCIAMACHY BESD
XCO2 and XCO2 anomalies (left) and global
season maps of GOSAT Proxy XCH4 (above)
RobParker–UniversityofLeicester
CARBOn dioxide emissions from FIRES - CARBOFIRES
Aim: Improve our knowledge about the role of fires for the carbon cycle by estimation of fire CO2
emissions directly from satellite measurements.
Fire CO2 enhancements - 2004
Satellite data
Data sets:
Satellite CO2 observations: SCIAMACHY BESD, GOSAT
datasets (planned)
Fire CO2 emissions: GFED, GFAS (planned)
Global CO2 model: CarbonTracker
Global burned area product: FIRE-CCI product (planned)
Strategy:
Identification of promising fire events for the analysis.
Identification of satellite measurements affected by fires.
Determination of background CO2 concentrations to
quantify how large the fire-related CO2 enhancements are.
Inversion of the satellite data to estimate the CO2 emissions.
Error analysis.
CarbonTracker
Model data
Dr. Jens Heymann
University of Bremen (IUP), Bremen, Germany
[email protected]
Contribution to the CCI program:
Reduction of uncertainties in our knowledge about the
carbon cycle.
Exploitation of different GHG-CCI products.
Use of FIRE-CCI products.
SCIAMACHY BESD
Estimated fire CO2 emissions
ERACE: The environmental response to
aerosols observed in CCI ECVs
• 
Currently evaluating short
and longwave radiative
effects using aerosol and
cloud CCI data
• 
• 
PRELIMINARY
DATA
Aim is to product a postprocessor for those data
Later, localised aerosol
sources to be investigated
by orienting with data with
direction of wind
Adam Povey, Matt Christensen, …, Don
PRELIMINARY
DATA
Does Increasing Temperature Increase Carbonaceous
Aerosol Direct Radiative Effect (over Boreal Forests)?
•  Tero Mielonen, Atmospheric Research Center of Eastern Finland (FMI)
•  PhD thesis, 2010:
•  Evaluation and application of passive and active optical remote sensing methods
for the measurement of atmospheric aerosol properties
•  Postdoc visit at KNMI: retrieval of tropospheric ozone with OMI
•  ITICA:
- estimate the effect of increasing temperatures on the
aerosol direct radiative effect
-  investigate the causes of the positive correlation
between AOD and LST using remote sensing data
(AATSR) and a climate model ECHAM-HAMMOZ
-  over the Southeastern US
-  over boreal regions
- estimate the significance of the negative feedback
caused by a warming-induced increase in the aerosol
direct radiative effect
Ocean colour at low sun and high waves
Martin Hieronymi
([email protected])
Synergy between ocean colour
and wind-wave observations
1. 
Revision of light reflection
and transmission properties
at realistic sea surfaces.
2. 
Study of wind-wave effects
on the solar radiative transfer
in the atmosphere and
ocean.
3. 
Chlorophyll concentration (Dec. 2011, OC-CCI)
Wave height
ERA-Interim
Development of an ocean
colour algorithm for OLCI
using available wind and
wave input.
9
ESALivingPlanetFellowship–FuturePlans
CLimateImpactonMARineECOsystemState-CLIMARECOS
Marie-FannyRacault,PlymouthMarineLaboratory(UK)
Ins8tu8onHost:ShubhaSathyendranath
AnalysisofContemporaryDataRecords
Pressure:
• El Niño variability
• Climate Index
Suite of Indicators from OC-CCI:
• Chlorophyll
• Primary Production
• Phenology (timing, duration)
ChlorophyllOC-CCI
EasternPacific
ElNiño
CentralPacific
ElNiño
Capotondietal.,JAS2014
%change
+15
0
-15
Racaultetal.,Inprep.
AnalysisofPastDataRecordsandEcosystemModelOutputs
Pressure:
• Climate Change
• Warmer scenario
Phenology Indicators from CZCS
Suite of Indicators from Ecosystem Model
Correlation of ENSO prediction
VERITAS-CCI: Verifying climate predictions
High-quality observations
improve your model skill
• Predicting natural variabilities and
near-term climate change - a rapidly
emerging field
• Predictions only useful if skill is known
from past predictions
• Satellite observations played little role
so far - although large potential
• Independent observations, highresolution coping with model
resolutions, estimate of observational
uncertainty.
Surfacewaterandclimatevariabilityfroma
high-resoluGonSAR-GIEMSmergedproducts
GlobalInunda8onExtentfrom
Mul8-Satellites(GIEMS)
Sen8nelSAR
Downscaledusingtopography
DataFusion
Global,long-termandhigh-resoluGonflood-riskdatabase